Willsey, M.S., Shah, N.P., Avansino, D.T. et al. A high-performance brain–computer interface for finger decoding and quadcopter game control in an individual with paralysis. Nat Med. 2025.

• Media coverage: The Detroit News, WJR-AM with Marie Osborne, Michigan News, Nature News, New Scientist, SER, DroneXL, News Medical, Singularity Hub, BBC Radio 5 live (Jan. 20, 2025, Futurism, Discover Magazine, Popular Science, Gizmodo, Independent

• Nick Ramsey and Mariska J. Vansteensel present a thoughtful analysis of our work and related BCI research in their article entitled: "The expanding repertoire of brain–computer interfaces"

Costello JT, Temmar H, Cubillos LH, Mender MJ, Wallace DM, Willsey MS, et al. Balancing Memorization and Generalization in RNNs for High Performance Brain-Machine Interfaces. bioRxiv. 2023. doi:10.1101/2023.05.28.542435. (NeurIPS 2023 spotlight paper.)

Willsey MS, Nason-Tomaszewski SR, Ensel SR, et al. Real-time brain-machine interface in non-human primates achieves high-velocity prosthetic finger movements using a shallow feedforward neural network decoder. Nature Communications. 2022;13:6899.

Nason SR, Mender MJ, Vaskov AK, Willsey MS, Kumar NG, Kung TA, et al. Real-time linear prediction of simultaneous and independent movements of two finger groups using an intracortical brain-machine interface. Neuron. 2021;109(19):3164–3177.e8.

Nason SR, Vaskov AK, Willsey MS, Welle EJ, An H, Vu PP, et al. A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain–machine interfaces. Nature Biomedical Engineering. 2020;4(10):973–983.

Willsey MS, Lu CW, Nason SR, Malaga KA, Lempka SF, Chestek CA, et al. Distinct perceptive pathways selected with tonic and bursting patterns of thalamic stimulation. Brain Stimul. 2020;13(5):1436-45.

A complete list of Matthew Willsey's publications is available on Google Scholar.